A comprehensive survey on heart sound analysis in the deep learning era
Heart sound auscultation has been applied in clinical usage for early screening of
cardiovascular diseases. Due to the high demand for auscultation expertise, automatic …
cardiovascular diseases. Due to the high demand for auscultation expertise, automatic …
[HTML][HTML] Review of phonocardiogram signal analysis: insights from the PhysioNet/CinC challenge 2016 database
The phonocardiogram (PCG) is a crucial tool for the early detection, continuous monitoring,
accurate diagnosis, and efficient management of cardiovascular diseases. It has the …
accurate diagnosis, and efficient management of cardiovascular diseases. It has the …
[HTML][HTML] Deep attention-based neural networks for explainable heart sound classification
Cardiovascular diseases are the leading cause of death and severely threaten human
health in daily life. There have been dramatically increasing demands from both the clinical …
health in daily life. There have been dramatically increasing demands from both the clinical …
[HTML][HTML] An intelligent Medical Cyber–Physical System to support heart valve disease screening and diagnosis
Cardiovascular diseases are currently the major causes of death globally. Among the
strategies to prevent cardiovascular issues, the automated classification of heart sound …
strategies to prevent cardiovascular issues, the automated classification of heart sound …
Audio for audio is better? An investigation on transfer learning models for heart sound classification
Cardiovascular disease is one of the leading factors for death cause of human beings. In the
past decade, heart sound classification has been increasingly studied for its feasibility to …
past decade, heart sound classification has been increasingly studied for its feasibility to …
Exploring interpretable representations for heart sound abnormality detection
The advantages of non-invasive, real-time and convenient, computer audition-based heart
sound abnormality detection methods have increasingly attracted efforts among the …
sound abnormality detection methods have increasingly attracted efforts among the …
Towards automatic airborne pollen monitoring: From commercial devices to operational by mitigating class-imbalance in a deep learning approach
Allergic diseases have been the epidemic of the century among chronic diseases.
Particularly for pollen allergies, and in the context of climate change, as airborne pollen …
Particularly for pollen allergies, and in the context of climate change, as airborne pollen …
Computer audition for fighting the SARS-CoV-2 corona crisis—Introducing the multitask speech corpus for COVID-19
Computer audition (CA) has experienced a fast development in the past decades by
leveraging advanced signal processing and machine learning techniques. In particular, for …
leveraging advanced signal processing and machine learning techniques. In particular, for …
An overview of the icassp special session on ai security and privacy in speech and audio processing
Perceiving and producing speech and audio signals are the basic ways for humans to
communicate with each other and know about the world. Benefiting from the advancement of …
communicate with each other and know about the world. Benefiting from the advancement of …
Zchsound: open-source zju paediatric heart sound database with congenital heart disease
W Jia, Y Wang, R Chen, J Ye, D Li, F Yin… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Congenital heart disease (CHD) is a common birth defect in children. Intelligent auscultation
algorithms have been proven to reduce the subjectivity of diagnoses and alleviate the …
algorithms have been proven to reduce the subjectivity of diagnoses and alleviate the …